Automatically Modeling Linguistic Categories in Spanish

  • M. D. López De Luise
  • D. Hisgen
  • M. Soffer
Conference paper

Abstract

This paper presents an approach to process Spanish linguistic categories automatically. The approach is based in a module of a prototype named WIH (Word Intelligent Handler), which is a project to develop a conversational bot. It basically learns category usage sequence in a sentence. It extracts a weighting metric to discriminate most common structures in real dialogs. Such a metric is important to define the preferred organization to be used by the robot to build an answer.

Keywords

Category Sequence Linguistic Category Prefer Organization Demonstrative Pronoun Spanish Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    J. Weizenbaum. "ELIZA - A Computer Program for the Study of Natural Language Communication between Man and Machine," Communications of the Association for Computing Machinery 9 (1966): 36-45.Google Scholar
  2. [2]
    J. Weizenbaum. “Computer power and human reason”. San Francisco, CA: W.H. Freeman, 1976.Google Scholar
  3. [3]
    K.M Colby, F.D. Hilf, S. Weber, J. Kraemer. "Turing-Like Indistinguishability Tests for the Validation of a Computer Simulation of Paranoid Processes". in A.I., 3 (1972) pp199-222.Google Scholar
  4. [4]
    M. Mauldin. "Chatterbots, Tinymuds, And The Turing Test: Entering The Loebner Prize Competition".AAAI-94. 1994Google Scholar
  5. [5]
    T. Winograd. "Procedures as a Representation for Data in a Computer Program for Understanding Natural Language". Cognitive Psychology Vol. 3 No 1, 1972Google Scholar
  6. [6]
    W.Chamberlain T. Etter."The Policeman's Beard Is Half Constructed ".(ISBN 0-446-38051-2)Google Scholar
  7. [7]
    ALICEBOT, alicebot.blogspot.com/Google Scholar
  8. [8]
    Dr-Sbaitso, download.cnet.com/Dr-SbaitsoGoogle Scholar
  9. [9]
    My-bot, webs.uolsinectis.com/stigliano/mybot/Google Scholar
  10. [10]
  11. [11]
  12. [12]
    Pandora Project, http://www.pandorabots.com/
  13. [13]
    The Personality Forge, http://www.personalityforge.com/
  14. [14]
  15. [15]
    M.D. López De Luise, “A Morphosyntactical Complementary Structure for Searching and Browsing”. Proceedings of SCSS 2005. Sobh, Tarek; Elleithy, Khaled (Eds.) 2006, XIV, 437 p. ISBN 978-1-4020-5262-0Google Scholar
  16. [16]
    M.D. López De Luise, J. Ale, “Induction Trees for Authomatic Word Classification”. Proceedings of CACIC 2007. 2007.Google Scholar
  17. [17]
    M.D. López De Luise, “Mejoras en la usabilidad de la Web a través de una estructura complementaria”. PhD dissertation. Univ. Nacional de La Plata. Buenos Aires. Argentina. 2008.Google Scholar
  18. [18]
    M.Bargalló,E. Forgas,C. Garriga,A.Rubio. ”Las lenguas de especialidad y su didáctica”. J. Schnitzer Eds. Universitat Rovira i Virgili. Tarragona, cap. 1 (P. Schifko, Wirtschaftsuniversität Wien), pp. 21-29. 2001.Google Scholar
  19. [19]
    L. Wittgenstein. "Tractatus Logico-Philosophicus". Grandes Obras del Pensamiento. Ediciones Altaya, Barcelona, 1997Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • M. D. López De Luise
    • 1
  • D. Hisgen
    • 1
  • M. Soffer
    • 1
  1. 1.AIGroup Universidad de PalermoBuenos AiresArgentina

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